

Cisco Secure Network Analytics and ExtraHop Reveal(x) are strong competitors in network traffic analysis and threat detection, each offering unique capabilities in security enhancement. ExtraHop seems to have the upper hand due to its real-time traffic analysis and superior integration abilities.
Features: Cisco Secure Network Analytics provides Layer 7 visibility, anomaly detection, and threat intelligence integration, essential for network traffic analysis. ExtraHop Reveal(x) leverages machine learning-driven behavioral analysis for easy threat detection, real-time insights, and comprehensive packet inspection. It offers customizable dashboards and reports, making it versatile for security applications.
Room for Improvement: Cisco Secure Network Analytics could bolster its visualization features and simplify setup and admin interfaces. Integration with AI and machine learning requires further advancement, and better cohesion with other Cisco tools is desired. ExtraHop Reveal(x) could improve by enhancing integration with other security vendors and refining its licensing model. Enhancements in reporting and GUI intuitiveness are also noted by users.
Ease of Deployment and Customer Service: Cisco Secure Network Analytics requires significant local hardware investment for on-premises deployments but benefits from generally knowledgeable technical support, albeit with regional differences. ExtraHop Reveal(x) offers flexibility with both on-premises and cloud deployment options, catering to a range of customer needs. Its customer service is highly praised for being knowledgeable and user-friendly.
Pricing and ROI: Cisco Secure Network Analytics is seen as expensive, with a licensing model based on network flows, posing challenges in cost planning. However, its robust capabilities often justify the investment by enhancing threat detection and reducing incident resolution time. ExtraHop Reveal(x) is also viewed as costly, with additional costs for scaling and hardware. The ROI is reflected in improved network visibility and security incident detection, though pricing may be a barrier for smaller organizations.
There is a lack of adequate local support from the Indian side.
For technical support of Cisco, the support they provide depends on how the client procures it, and so far, it's understandable.
I would rate their technical support nine out of ten.
Cisco products are incredibly stable, boasting a 200% stability.
Once resolved, the system works well, and overall I think it's good.
The solution should have the ability to analyze security events not only at the network layer but also at the application and OS layers.
Proper management of the database is also important; it should be centralized for easier data collection from a single database.
Currently, we have to check manually as we do not receive any notifications about new patches, maintenance, or firmware releases.
I would like to see improvements in areas where events are getting dropped; we're not able to view complete insights.
Cisco solutions are considered to be very expensive.
Regarding cost, for the Bangladesh context, Cisco Secure Network Analytics is a little bit high-priced because we are a developing country, making it tough to manage affordable solutions.
AI provides suggested common lines and protection features that help safeguard networks from various threats or unwanted situations.
The most valuable features include encrypted traffic analytics and the ability to fulfill requirements at the network level.
If I want to know a specific IP and which server it has been connected to, it's easy to gather those kinds of trees from the NDR.
The solution offers a friendly GUI for security features.
| Product | Mindshare (%) |
|---|---|
| Cisco Secure Network Analytics | 9.7% |
| ExtraHop Reveal(x) | 7.5% |
| Other | 82.8% |


| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 7 |
| Large Enterprise | 52 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 9 |
Cisco Secure Network Analytics enhances network security through integrated threat detection and detailed traffic visibility, optimizing performance with AI analytics and strong platform integrations.
Cisco Secure Network Analytics offers deep visibility into network traffic, with tools like network maps and server response times. Its AI-driven analytics help detect threats, focusing on east-west traffic. Integration with platforms such as pxGrid and ISE complements its capabilities. Reporting and telemetry help in identifying bandwidth issues, yet improvements are desired in AI for better data organization. Installation complexity and false positives present challenges, and managing network loads effectively is a recognized need.
What are the key features of Cisco Secure Network Analytics?Industries such as banking, defense, and police rely on Cisco Secure Network Analytics for securing networks against threats. Its capability to provide insights into encrypted traffic and facilitate device auditing makes it a sought-after choice for those requiring extensive network visibility. Users appreciate its application for threat prevention and response in demanding sectors.
ExtraHop Reveal(x) offers advanced network visibility and threat detection through seamless integration with CrowdStrike. It enhances security with machine learning-driven behavioral analysis and customizable dashboards.
ExtraHop Reveal(x) excels in network detection and response by decrypting SSL traffic and providing real-time packet inspection. Users benefit from its dynamic triggers and historical data tracing. The platform is valued for its depth of information, powerful analytics, and cloud-based administration. It allows effective monitoring of attack chains and integrates with other solutions to boost security. However, there is room for improvement in pricing flexibility, licensing models, and integration capabilities, particularly with Microsoft Sentinel.
What are ExtraHop Reveal(x)'s Key Features?ExtraHop Reveal(x) is employed across industries for network traffic monitoring, malware detection, and real-time analysis. Analysts use it for server-to-server networking insights and application troubleshooting. Companies leverage its capabilities for behavioral analytics and compliance monitoring without deploying sensors on individual devices.
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